[119 Pages Report] The mobile AI market was valued at USD 1.66 billion in 2017 and is expected to reach USD 17.83 billion by 2023, at a CAGR of 28.41% during the forecast period. The base year considered for this study is 2017, and the forecast period is between 2018 and 2023.

Objectives of the Study

To describe and forecast the mobile AI market, in terms of value and volume, by application, technology node, and geography

To forecast the market size, in terms of value and volume, for various segments with respect to four main regionsNorth America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)

To describe major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the mobile AI market and submarkets

To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market

To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the mobile AI market

To identify key players operating in the mobile AI market and comprehensively analyze their market rankings and core competencies

To analyze growth strategies such as product launches and developments, acquisitions, expansions, and agreements adopted by major players in the mobile AI market

The research methodology used to estimate and forecast the mobile AI market begins with capturing data on key vendor revenues through secondary research. The secondary sources include research papers and journals of Association for the Advancement of Artificial Intelligence (AAAI), European Association for Artificial Intelligence, Canadian Artificial Intelligence Association, Institute of Electrical and Electronics Engineers (IEEE), Data Science Association, International Association for AI and Law (IAAIL), and MarketsandMarkets Analysis. Moreover, product offerings of demand-side vendors were taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the size of the overall mobile AI chip from revenues of key players in this market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were verified through primary research by conducting extensive interviews with key industry experts, such as CEOs, VPs, directors, and executives. Data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of the profiles of primary respondents is depicted in the following figure.

According to MarketsandMarkets, the mobile AI market is expected to reach USD 17.83 billion by 2023 from USD 5.11 billion in 2018, at a CAGR of 28.41% during the forecast period. The growth of this market can be attributed to the increasing demand for AI-capable processors for use in mobile devices, rise in cognitive computing, and growing number of AI applications.

This report covers the mobile AI market by application, technology node, and geography. Among all applications, smartphones are expected to hold the largest size of the market throughout the forecast period. Growing requirement for higher security, low latency, faster computing, and less reliance on connectivity is boosting the adoption of devices with dedicated AI chips. On-device AI uses dedicated AI chipsets, which are likely to become prominent in all flagship smartphones in the near future. It is expected that the use of dedicated AI chips in smartphones will increase substantially by 2023, and these chips will be available in most smartphones sold in the coming years.

The mobile AI market for AR/VR applications is expected to grow at the highest rate between 2018 and 2023. Large tech companies such as Qualcomm (US), Google, Microsoft (US), and Apple (US) have shown their interests in contributing to the growth of augmented technology by adopting strategies such as product launches, acquisitions, or funding. AR and VR, coupled with AI, will provide smarter, more relevant, and personalized experience. For instance, in July 2017, Microsoft announced the next generation of its mixed reality HoloLens headset HoloLens 2 which will have a dedicated AI coprocessor known as the Holographic Processing Unit (HPU). Qualcomm, in February 2018, announced its Snapdragon 845 VR headset reference design to fuel next-generation VR experience.

In terms of technology node, the mobile AI market for 2028nm is expected to grow at a high rate between 2018 and 2023. The market for drones, robotics, and surveillance cameras wherein vision processing units are used is likely to grow at a significant rate in the near future. Processors such as VPU Jetson and S32V234 are built upon 2028nm technology nodes. These processors are used in an array of applications, including ADAS, drones, robotics, security cameras, and AR/VR headsets.

The mobile AI market in APAC is expected to grow at the highest CAGR during the forecast period. The region is becoming the center of attraction for major investments as it holds significant business expansion opportunities. Various AI processor start-ups in China are raising funds to grow in the market. For example, ThinkForce (China) raised around USD 68 million, and DeePhi (China) raised around USD 40 million. Along with this, increasing government spending to boost the AI network in China is expected to further contribute to market growth during the forecast period.

Factors such as premium pricing of AI processors and limited number of AI experts are restraining market growth.